Titlebook: Blockchain and Trustworthy Systems; Third International Hong-Ning Dai,Xuanzhe Liu,Xiangping Chen Conference proceedings 2021 Springer Natu

MARS

Deep Learning-Based Transaction Prediction in EthereumMeanwhile, with the advent of blockchain technology, cryptocurrencies have attracted attention in the financial field and the public. Therefore, there has been a lot of researches done on the time series prediction of cryptocurrencies. However, most of these studies are about predicting the prices o

FLAT

Portraits of Typical Accounts in Ethereum Transaction Networkrious applications. However, since users use pseudonyms in Ethereum, it is hard to know the true identity behind an account. Meanwhile, a large number of cyber-crimes in Ethereum emerged and have been reported. Therefore, it is an important task to analyze the transaction behavior of accounts in Eth

態(tài)度暖昧

Blockchain Abnormal Transaction Behavior Analysis: a?Surveyped and used by researchers, the technology is also used to conduct abnormal transaction behaviors, such as money laundering and fraud. After understanding a large amount of research data, this paper summarizes and analyzes the abnormal trading behaviors in blockchains from the basic characteristics

大方不好

EthSniffer: A Global Passive Perspective on Ethereume world of encrypted electronic currencies, second only to Bitcoin. Ethereum uses the underlying blockchain network to implement decentralized distributed data computing and storage. This decentralized mechanism can effectively protect the security and privacy of data. We combed through the existing

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BALE

xBCBench: A Benchmarking Tool for Analyzing the Performance of Blockchain Systemsogy, the performance of blockchain has always been a key issue that has attracted much attention and discussion. Therefore, a performance testing tool can help evaluate the performance of different blockchain systems and guide further optimization. This paper proposes xBCBench, a benchmarking tool f

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CLEAR

謙卑